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Databricks

Senior Software Engineer - Data Platform

Bengaluru · Staff/Principal

Good timing - competition is buildingVerified listingPosted 13d ago

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

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What we know about this role

Hiring pulse

HIGH

Databricks is actively reviewing profiles and moving candidates through the pipeline right now.

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First 72 hours

Window passed - posted 13d ago

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Reposted role

This role was posted earlier, closed, and has now reopened - the company is accepting candidates again.

First posted Aug 19, 2024

Skills required

11 listed
Machine LearningEssential ServicesCloud StorageApache SparkPerformance EngineeringDatabricksScala (Programming Language)Kubernetes+3 more
Machine LearningEssential ServicesCloud StorageApache SparkPerformance Engineering

You almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.

Job description

P-926

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India - and currently in the process of setting up 14 new teams from scratch !

As a Senior Software Engineer at Databricks India, you can get to work across :

- Backend

- DDS (Distributed Data Systems)

- Full Stack

The impact you'll have:

1. Our Backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:

  • Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
  • Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
  • Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark™, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.

2. Our DDS team spans across:

  • Apache Spark™
  • Data Plane Storage
  • Delta Lake
  • Delta Pipelines
  • Performance Engineering

3. As a Full Stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

What we look for:

  • BS (or higher) in Computer Science, or a related field
  • 7+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
  • Experience developing large-scale distributed systems from scratch
  • Experience working on a SaaS platform or with Service-Oriented Architectures.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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All open roles at DatabricksAll Data Engineer jobs in Bengaluru

Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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